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    @Article{OJIOT_2019v5i1n12_Misic,
        title     = {Data Lifetime Estimation in a Multicast-Based CoAP Proxy},
        author    = {Jelena Misic and
                     Vojislav B. Misic and
                     Xiaolin Chang},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2019},
        volume    = {5},
        number    = {1},
        pages     = {150--162},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2019092919351017303648},
        urn       = {urn:nbn:de:101:1-2019092919351017303648},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {In this work we consider kernel-based record lifetime estimation in a proactive Internet of Things (IoT) proxy with multicast based cache management. Multicast refreshment requests were based on lifetime expiration for a predefined number of records. To reduce the traffic volume in the IoT domain, we assume that only nodes where the observed physical variable has changed its value will respond to the multicast request. For estimating the data lifetime at the proxy, we use Gaussian kernels, assuming that the intrinsic data lifetime probability distribution was taken from Erlang-k family of sub-exponential distributions. In this setup, we consider that the proxy connects to the IoT domain using an IEEE 802.15.4-compatible wireless network. Results indicate that narrow and symmetrical lifetime probability distributions require more frequent multicasting refreshments compared to wider and asymmetric ones. This increases traffic intensity and energy consumption in IoT domain. We quantify finding with numerical results.}
    }